Panel survey data on the investment and risk behavior of Neobroker users in GermanyUniversity of Trier
This paper presents data consisting of three waves of a longitudinal panel survey conducted among Neobroker users in Germany. The panel survey spans over 14 months with data collected in December 2022, August 2023, and February 2024. This staggered timing allows for the examination of both individua...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925005025 |
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| Summary: | This paper presents data consisting of three waves of a longitudinal panel survey conducted among Neobroker users in Germany. The panel survey spans over 14 months with data collected in December 2022, August 2023, and February 2024. This staggered timing allows for the examination of both individual and collective longitudinal effects of trading apps on investment behavior by observing changes and trends over time. Each wave of the survey used filter questions to target specific groups, including current Neobroker users, former users, general online investors, and usage planners. The datasets provide insights into investment and risk behavior among diverse groups of participants, with a focus on Neobroker usage. The data facilitate the exploration of collective investment and risk behavior across these groups, highlighting potential trends and commonalities. The representative sampling methodology ensures reliability and reduces sampling bias. The datasets allow the analysis of trading app impact on user behavior over time, due to repeatedly surveyed Neobroker users. Repeated questioning also enables to identify reasons behind changes in trading app usage, such as why former Neobroker users stopped using Neobrokers during the survey waves. Additionally, they provide the opportunity to compare the characteristics and the behavior of Neobroker users with general online investors. By offering diverse participant insights, these datasets serve as a strong foundation for examining broader investment and risk patterns and the collective investment and risk behavior among different groups. |
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| ISSN: | 2352-3409 |